Cloudera

MAY 15, 2018

Derman (2016), Cesa (2017) & Bouchard (2018)). ABMs consist of an environment that is composed of (software) agents who interact with and influence one another, learn from their experiences and adapt their behaviours so that they are better suited to their environment. Blog Post, Nov-2016. Jean-Phillipe Bouchard, J.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

IBM Big Data Hub

JULY 19, 2023

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Conversational Knowledge: Reviews, knowledge base, product descriptions and more.

Consulting 63

Consulting Machine Learning Manufacturing Optimization 63

Ontotext

SEPTEMBER 24, 2020

Or this – a digital twin of an entire city being used by the public and private sector as a three-dimensional model that can be analyzed, controlled and tested in real time. And this is where the value-proposition of a digital twin technology, listed among the top 10 strategic technologies since 2017, comes into play.

IT 59

IT Digital Transformation Manufacturing Modeling 59

Insight

JUNE 2, 2019

Simply Install is a series of blogs covering installation instructions for simple tools related to data engineering. This blog covers basic steps to install and configuration Apache Spark (a popular distributed computing framework) as a cluster. on AWS using EC2 Instances. This doesn’t however capture the physical components fully.

Testing 67

Testing Management Data Processing Interactive 67

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. The refrain has been repeated ever since. In a statement on Oct. In a statement on Oct.

Analytics 145

Analytics Machine Learning Insurance Testing 145

datapine

MAY 11, 2022

Therefore, the visualization of data is critical to the sustained success of your business and to help you yield the most possible value from this tried and tested means of analyzing and presenting vital information. Retail analytics tools allow you to visualize relevant metrics in interactive bar charts such as the one displayed below.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. While the discussion is about methods and applications, the blog also contains pointers to research papers and to the TensorFlow Lattice package that provides an implementation of these solutions.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

The Unofficial Google Data Science Blog

APRIL 23, 2024

This blog post discusses such a comprehensive approach that is used at Youtube. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters. And we can keep repeating this approach, relying on intuition and luck.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

O'Reilly on Data

JULY 25, 2023

So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. This choice also inspired me to call my project Swift Papers.

Consulting 246

Consulting Interactive Software IT 246

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. Challenges for Transparency ”. Riccardo Guidotti, et al. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. 2] Bayraktar, Erhan and Munk, Alexander, Mini-Flash Crashes, Model Risk, and Optimal Execution (May 27, 2017).

Risk 94

Risk Marketing Risk Management Data-driven 94

Depict Data Studio

JANUARY 9, 2023

Dashboard Design , my deep dive on building static and interactive dashboards: September 2023. I’m going to focus on blogging this year. My time’s limited, and blogging is the most efficient one to many structure. In past years, my goal was 24 blog posts (about 2 per month). In 2012, I started a DIY blog.

Dashboards 40

Dashboards Consulting Visualization Data Processing 40

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. After forming the X and y variables, we split the data into training and test sets. 1 570 0 230 Name: credit, dtype: int64.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Smarten

FEBRUARY 23, 2022

While the goal is to simplify human interaction with computers, NLP is a complex mix of computational linguistics and computer science. Users can compose and enter a question using common human language, e.g., ‘who sold the most bakery products in 2017 in the Southwest region?’.

Analytics 76

Analytics ROI Interactive Machine Learning 76

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Another increasing factor in the future of business intelligence is testing AI in a duel. Today, managers and workers need to interact differently as they face an always-more competitive environment.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

DataRobot Blog

OCTOBER 3, 2017

A Senior Director of Data Science for a marketing / advertising tech company is charged with television programming, content, creative, and message testing analysis. Interactively explore, combine, and shape diverse datasets into data ready for machine learning and AI applications. free trial. DataRobot Data Prep. Try now for free.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

Alation

AUGUST 26, 2021

HBR Review May/June 2017. Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. Next, you test these use cases with the software chosen. Field Test Use Cases. Once you’ve defined your goals and use cases , it’s time to put them to the test.

Metadata 64

Metadata Data Governance Dashboards Software 64